• 인지과학
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• 제34권1호
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• pp.1-20
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• 2023

본 연구에서는 시각적 요인에 따라 한글 단어 재인에 미치는 공간주의의 영향을 살펴보았다. 시각적 요인에 따라 공간주의의 영향이 다르게 나타나는지 살펴보기 위해 단어의 시각적 복잡성(실험 1)과 단어의 밝기 대비(실험 2)를 조작하였다. 단어의 복잡성에 따라 받침이 있는 조건과 받침이 없는 조건으로 나뉘었고, 단어의 대비에 따라 대비가 높은 조건과 대비가 낮은 조건으로 나뉘었다. 어휘판단과제를 사용하여 공간단서가 표적 위치에 주어지는 경우(타당 시행)와 표적 위치에 주어지지 않는 경우(비타당 시행) 간의 수행 차이를 단서효과로 계산하여 주의의 영향을 살펴보았다. 실험 결과, 단어의 복잡성에 따라서는 단서효과가 유사하게 나타났으므로, 공간주의의 영향은 복잡성에 의해 달라지지 않는 것으로 해석되었다. 단어의 대비에 따라서는 고대비 조건에 비해 저대비 조건에서 단서효과가 크게 나타났다. 대비가 낮을 때 공간주의의 영향이 더 커지는 것은 자극의 신호를 강화시키는 공간주의의 기제로 설명되었다.

• 대한수의학회지
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• 제63권1호
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• pp.3.1-3.9
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• 2023

The efficiency of somatic cell nuclear transfer (NT) in pigs is low and requires enhancement. We identified the most efficient method for zona pellucida (ZP) removal and blastomere aggregation in pigs and investigated whether the aggregation of NT and parthenogenetic activation (PA) of blastomeres could reduce embryonic apoptosis and improve the quality of NT-derived embryos by investigating. Embryonic developmental competence after ZP removal using acid Tyrode's solution or protease (pronase E). The embryonic developmental potential of NT-derived blastomeres was also investigated using well-of-the-well or phytohemagglutinin-L. We analyzed apoptosis in aggregate-derived blastocysts. The aggregation rate of protease-treated embryos was lower than that of Tyrode's solution-treated embryos (69.2% vs. 88.3%). No significant difference was observed between phytohemagglutinin-L and well-of-the-well (35.7%-38.5%). However, 2P1N showed a higher number of blastocysts compared to 3N (73.8% vs. 24.3%) and an increased blastocyst diameter compared to the control and 1P2N (274 ㎛ vs. 230-234 ㎛). In blastomeres aggregated using phytohemagglutinin-L, the apoptotic cell ratio was significantly higher in 1P2N and 3N than in 3P (5.91%-6.46% vs. 2.94%, respectively). Our results indicate that aggregation of one NT embryo with two PA embryos improved the rate of blastocysts with increased blastocyst diameter.

• 한국컴퓨터정보학회논문지
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• 제14권11호
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• pp.61-71
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• 2009

자동차의 번호판은 차량의 등록 정보를 확인할 수 있는 유일한 방법이다. 불법 주정차 단속 및 주차 관리 시스템에 차량의 등록 정보를 확인하기 위해 카메라를 이용한 무인 인식시스템의 개발이 활발히 연구되고 있다. 하지만, 일반 도로상에서 날씨나 주변 장애물들은 자동차 번호판 상에 조명 변화를 일으켜 번호판 문자의 추출을 어렵게 한다. 본 논문은 번호판 영상을 개선하여 조명변화에 강인한 문자 추출 알고리즘을 제안한다. 제안하는 기법은 번호판 영상의 명암 대비도를 높이기 위해 Chi-Square 확률 밀도 함수를 이용한다. 또한, 정확한 문자영역을 추출하기 위해, 적응적인 문턱값을 적용함으로써 고품질의 이진화 영상을 얻는다. 번호판의 문자들을 추출하는 일련의 과정에서 방해가 되는 잡음들을 전처리와 레이블링을 통해 제거한다. 마지막으로 번호판의 문자들은 번호판의 기하학적 특징을 이용한 이진화 영상의 프로파일링으로부터 추출된다.

• 한국노년학
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• 제31권2호
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• pp.401-417
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• 2011

인생회고는 자기 삶을 돌아보고 평가하는 것으로 노년기에 삶의 의미를 찾는 데 필요한 과정이고, 이러한 인생회고를 효과적으로 할 수 있는 한 가지 방법이 자기 일생의 사적(史跡)을 기록하는 자서전 쓰기다. 본 연구에서는 인생의 주요 주제를 중심으로 자서전 내용을 구성하여, 자전적 기억의 점화 및 인출 지지를 통해 글쓰기를 실행하고, 원고의 편집 및 교정작업을 거쳐 프로그램 종결 시 자신의 완성된 자서전을 받을 수 있도록 프로그램을 개발하여 그 효과를 검증해 보았다. 60세 이상 노인 14명을 대상으로 15회기에 걸쳐 프로그램을 실시하였고 사전 사후검사 결과, 자아 통합감, 생활 만족도, 삶의 질이 향상되고 우울감은 저하되는 것으로 나타났다. 이는 집단 자서전 쓰기 프로그램이 노인의 안녕감 증진에 매우 유용하다는 것을 시사한다. 논의에서 연구 결과의 함의를 비롯하여 본 연구의 의의, 한계점, 후속 연구에 대해 기술하였다.

• 의정연구
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• 제26권3호
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• pp.85-123
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• 2020

대의민주주의 하에서 국회의원은 국민을 대표하여 법률안을 발의, 제·개정하는 권한을 행사하고, 이렇게 형성된 의원입법은 개인과 사회에 큰 영향을 미친다. 최근 의원입법이 양적으로 과다하게 팽창하는 반면에 질적 수준은 제고되지 않는다는 비판이 존재한다. 이에 본 연구는 2004년부터 2016년까지의 장기 시계열의 관점에서 제17~19대 국회 법률안의 입법 유형, 입법생산성 및 입법효율성을 체계적으로 분석하였다. 또한 의원입법의 특성이 투표율, 선거 경쟁정도 등과 같은 선거 관련 변수에 어떻게 반응하는지 실증분석을 실시하였다. 분석 결과 의원입법은 정부운영, 금융 및 국내통상, 거시경제, 사회복지 및 보건 영역에서 다수 발의되는 것으로 나타났고, 국회의원 1인당 대표발의 건수가 증가하는 반면 의결비율과 처리비율은 낮아지고 처리기간이 길어지는 것으로 확인되었다. 의원입법의 선거반응성 측면에서는 국민들의 투표 참여가 입법효율성을 제고하는 것으로 나타났다. 이와 같은 결과에 기초하여 본 논문은 의원입법의 개선을 위해 입법 과정의 투명성 제고, 국민들의 정치 지식 향상, 그리고 선거 기능 활성화를 강조한다.

• 한국IT서비스학회지
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• 제22권5호
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• pp.1-16
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• 2023

This study aimed to provide fundamental insights into the digital customer experience by identifying its components and analyzing their importance and satisfaction levels among youths. To achieve this objective, the components of digital customer experience were identified through a review of prior research and consultation with experts. Subsequently, a survey was conducted with 200 youths in Seoul and Gyeonggi-do. The main findings of the study are as follows: First, The components of the digital customer experience consisted of 12 items grouped into three categories. Second, an analysis of the disparity between the importance and satisfaction levels of digital customer experience revealed statistically significant differences across all items. Third, By utilizing IPA (Importance-Performance Analysis), the digital customer experience was categorized into four quadrant, each with its own characteristics and recommendations for management: The first quadrant, the "current level maintenance area," encompassed items related to "entertainment" and "recommended service." This area is currently functioning well but necessitates continuous attention and management. The second quadrant, the "area to be supported first," included items such as "personalization," "security," "inducing participation," "privacy," and "individuality expression." Intensive management and improvements are imperative in this quadrant. The third quadrant, the "long-term improvement area," consisted of items like 'consistency,' 'information quality,' and 'convenience.' These items require focus on long-term enhancement efforts. The fourth quadrant, the "areas where efforts have already been invested," encompassed items like 'accessibility' and 'deliberation.' It appears that excessive investment has been made in these areas relative to their importance, calling for selective investments while considering the specific issues associated with each factor. These research findings serve as essential data for managing the digital customer experiences of youths.

• 한국BIM학회 논문집
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• 제13권3호
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• pp.1-11
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• 2023

In order to use BIM as a tool for improving the productivity and quality of products in the construction industry, a BIM model must be created from the design stage first. Infrastructure structures such as bridges and tunnels are mainly created based on three-dimensional alignment in the generation of BIM models. Especially, generation of BIM models based on three-dimensional linearity has high task difficulty and algorithms for automating BIM modeling for railway infra structures have been suggested in previous studies. This study improved the BIM modeling automation algorithm of railway infrastructures and developed a system based on the algorithm so that it can be easily used by ordinary users. The system was built as an add-in system of Autodesk's Revit. As an improvement first, it is possible to arrange different libraries for each pattern, enabling various uses. In addition, it can be created models of several members with a single process and the system can automatically places structures that are added periodically, such as Rock Bolt and Fore Polling. Finally, 3D length information and volume for each pattern are automatically calculated for more accurate 3D-based volume calculation. This study contributes to increasing user accessibility by building a BIM modeling automation algorithm into a system. The system is expected to improve the efficiency of BIM modeling creation of linear-based infra structures, including railway infrastructure.

• Journal of Radiation Protection and Research
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• 제48권3호
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• pp.117-123
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• 2023

Background: We investigated the impact of 0.35 T magnetic field on dose calculation for non-small cell lung cancer (NSCLC) stereotactic ablative radiotherapy (SABR) in the ViewRay system (ViewRay Inc.), which features a simultaneous use of magnetic resonance imaging (MRI) to guide radiotherapy for an improved targeting of tumors. Materials and Methods: Here, we present a comprehensive analysis of the effects induced by the 0.35 T magnetic field on various characteristics of SABR plans including the plan qualities and dose calculation for the planning target volume, organs at risk, and outer/inner shells. Therefore, two SABR plans were set up, one with a 0.35 T magnetic field applied during radiotherapy and another in the absence of the field. The dosimetric parameters were calculated in both cases, and the plan quality indices were evaluated using a Monte Carlo algorithm based on a treatment planning system. Results and Discussion: Our findings showed no significant impact on dose calculation under the 0.35 T magnetic field for all analyzed parameters. Nonetheless, a significant enhancement in the dose was calculated on the skin surrounding the tumor when the 0.35 T magnetic field was applied during the radiotherapy. This was attributed to the electron return effect, which results from the deviation of the electrons ejected from tissues upon radiation due to Lorentz forces. These returned electrons re-enter the tissues, causing a local dose increase in the calculated dose. Conclusion: The present study highlights the impact of the 0.35 T magnetic field used for MRI in the ViewRay system for NSCLC SABR treatment, especially on the skin surrounding the tumors.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권12호
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• pp.3218-3241
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• 2023

Financial fraud undermines the sustainable development of financial markets. Financial statements can be regarded as the key source of information to obtain the operating conditions of listed companies. Current research focuses more on mining financial digital data instead of looking into text data. However, text data can reveal emotional information, which is an important basis for detecting financial fraud. The audit opinion of the financial statement is especially the fair opinion of a certified public accountant on the quality of enterprise financial reports. Therefore, this research was carried out by using the data features of 4,153 listed companies' financial annual reports and audits of text opinions in the past six years, and the paper puts forward a financial fraud detection model integrating audit opinions. First, the financial data index database and audit opinion text database were built. Second, digitized audit opinions with deep learning Bert model was employed. Finally, both the extracted audit numerical characteristics and the financial numerical indicators were used as the training data of the LightGBM model. What is worth paying attention to is that the imbalanced distribution of sample labels is also one of the focuses of financial fraud research. To solve this problem, data enhancement and Focal Loss feature learning functions were used in data processing and model training respectively. The experimental results show that compared with the conventional financial fraud detection model, the performance of the proposed model is improved greatly, with Area Under the Curve (AUC) and Accuracy reaching 81.42% and 78.15%, respectively.

• Korean Journal of Radiology
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• 제22권6호
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• pp.951-958
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• 2021

Objective: To evaluate the usefulness of virtual monochromatic images (VMIs) obtained using dual-layer dual-energy CT (DL-DECT) for evaluating brain tumors. Materials and Methods: This retrospective study included 32 patients with brain tumors who had undergone non-contrast head CT using DL-DECT. Among them, 15 had glioblastoma (GBM), 7 had malignant lymphoma, 5 had high-grade glioma other than GBM, 3 had low-grade glioma, and 2 had metastatic tumors. Conventional polychromatic images and VMIs (40-200 keV at 10 keV intervals) were generated. We compared CT attenuation, image noise, contrast, and contrast-to-noise ratio (CNR) between tumor and white matter (WM) or grey matter (GM) between VMIs showing the highest CNR (optimized VMI) and conventional CT images using the paired t test. Two radiologists subjectively assessed the contrast, margin, noise, artifact, and diagnostic confidence of optimized VMIs and conventional images on a 4-point scale. Results: The image noise of VMIs at all energy levels tested was significantly lower than that of conventional CT images (p < 0.05). The 40-keV VMIs yielded the best CNR. Furthermore, both contrast and CNR between the tumor and WM were significantly higher in the 40 keV images than in the conventional CT images (p < 0.001); however, the contrast and CNR between tumor and GM were not significantly different (p = 0.47 and p = 0.31, respectively). The subjective scores assigned to contrast, margin, and diagnostic confidence were significantly higher for 40 keV images than for conventional CT images (p < 0.01). Conclusion: In head CT for patients with brain tumors, compared with conventional CT images, 40 keV VMIs from DL-DECT yielded superior tumor contrast and diagnostic confidence, especially for brain tumors located in the WM.